SuryaPradeepM's Stars
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
google-research/google-research
Google Research
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
feast-dev/feast
The Open Source Feature Store for Machine Learning
openvenues/libpostal
A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.
argilla-io/argilla
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
ploomber/ploomber
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
clovaai/CRAFT-pytorch
Official implementation of Character Region Awareness for Text Detection (CRAFT)
openaddresses/openaddresses
A global repository of open address, building, and parcel data.
nschloe/tiptop
:desktop_computer: Command-line system monitoring
re-data/re-data
re_data - fix data issues before your users & CEO would discover them 😊
tstanislawek/awesome-document-understanding
A curated list of resources for Document Understanding (DU) topic
pytries/marisa-trie
Static memory-efficient Trie-like structures for Python based on marisa-trie C++ library.
CLD2Owners/cld2
Compact Language Detector 2
Renumics/awesome-open-data-centric-ai
Curated list of open source tooling for data-centric AI on unstructured data.
achuthasubhash/Complete-Life-Cycle-of-a-Data-Science-Project
Complete-Life-Cycle-of-a-Data-Science-Project
allanj/pytorch_neural_crf
Pytorch implementation of LSTM/BERT-CRF for named entity recognition
GRAAL-Research/deepparse
Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning
pytries/DAWG
DAFSA-based dictionary-like read-only objects for Python. Based on `dawgdic` C++ library.
davidberenstein1957/concise-concepts
This repository contains an easy and intuitive approach to few-shot NER using most similar expansion over spaCy embeddings. Now with entity scoring.
emeryberger/scalene
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python
jasonrig/address-net
A package to structure Australian addresses
RasaHQ/rasa-nlu-examples
This repository contains examples of custom components for educational purposes.
INK-USC/TriggerNER
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition (ACL 2020)
rtmaww/EntLM
Codes for "Template-free Prompt Tuning for Few-shot NER".
tulip-lab/sit742
SIT742: Modern Data Science
kaushiksoni10/locationtagger
Detect and extract locations from text or URL page
sansan-inc/lighthergm
Fit, Simulate, and Diagnose Hierarchical Exponential-Family Models for Networks in A Scalable Way
nl-2021/Feast-with-Redis
Using Feast with Redis as its online feature store for machine learning
SuryaPradeepM/Masters_Deakin_AI